BigHugger
sk Skill · mukul975

detecting-fileless-malware-techniques

Detects and analyzes fileless malware that operates entirely in memory using PowerShell, WMI, .NET reflection, registry-resident payloads, and living-off-the-land binaries (LOLBins) without writing traditional executable files to disk. Use for requests involving fileless threat detection, in-memory malware investigation, LOLBin abuse analysis, or WMI persistence examination.

installs 8w
0
30-day movement
starts with the next reading
Related entries
1
Connections
0
yamlpythonbashPythondetectionLOLBinsmemory-analysisfilelessmalware
Host repository
mukul975/Anthropic-Cybersecurity-Skills
Version
1.0.0
Licence
Apache-2.0
Host stars
33k
Host language
Python